blog_posts: 0f7b509b8b
This data as json
id | createdDate | title | link | postExcerpt | featuredImageUrl | hash | contributors | modifiedDate | displayDate |
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blog-posts#53-6779 | 2021-08-10 15:46:16 | Enrich Amazon Comprehend Medical with Custom Code and Models | https://aws.amazon.com/blogs/industries/enrich-amazon-comprehend-medical-with-custom-code-and-models/ | Extracting important information from unstructured medical texts (e.g., transcribed physician notes) is a key step in understanding the content of such documents, yet many healthcare and life sciences organizations struggle with this. Manually extracting the data is a time-consuming process, while automated rule-based attempts to extract the data don’t capture the full story as they [...] | https://d2908q01vomqb2.cloudfront.net/c5b76da3e608d34edb07244cd9b875ee86906328/2021/07/30/Screen-Shot-2021-07-30-at-1.33.14-PM-300x157.png | 0f7b509b8b | Joshua Broyde, Claire Palmer | 2021-08-26 16:15:28 | 10 Aug 2021 |
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